The effect of local dissociation on dynamics of interacting molecular motors

The effect of local dissociation on dynamics of interacting molecular motors
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DOI:
10.1088/1751-8121/ab35bb
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发表时间:
2019-08
期刊:
Journal of Physics A: Mathematical and Theoretical
影响因子:
--
通讯作者:
Luiza V F Gomes;Tripti Midha;A. Gupta;A. Kolomeisky
Luiza V F Gomes;Tripti Midha;A. Gupta;A. Kolomeisky
中科院分区:
其他
文献类型:
--
作者:
Luiza V F Gomes;Tripti Midha;A. Gupta;A. Kolomeisky

文献摘要

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所有生命系统的成功运作取决于几类被称为生物分子马达的活​​性酶分子。它们参与需要应用机械力的过程,例如细胞运输、肌肉功能、蛋白质和核酸的合成等等。实验研究表明,大多数生物分子马达通过彼此相互作用并沿着线性轨道移动来集体发挥作用,它们偶尔会在特定位置脱离。我们开发了一个理论模型来研究具有局部解离的相互作用分子马达的多粒子动力学。在蛋白质合成过程中,当核糖体复合物可能通过遇到 RNA 上的特定局部区域而解离到溶液中时,它会受到核糖体沿着核糖核酸 (RNA) 分子运动的特别刺激。在我们的理论方法中,我们将分子马达的动力学建模为相互作用粒子的一维完全不对称简单排除过程。使用簇平均场方法,部分考虑系统中的相关性,可以显式计算粒子电流、密度和相图等稳态特性。研究发现,局部解离的存在增加了可能的固定相的数量。此外,分子马达之间相互作用的强度、相互作用引起的转变速率的改变以及解离频率强烈影响分子马达的动力学。讨论了这些观察结果的微观起源。我们的理论预测得到蒙特卡罗计算机模拟的充分支持。
Successful functioning of all living systems depends on several classes of active enzymatic molecules known as biological molecular motors. They are involved in processes that require the application of mechanical forces such as cellular transport, muscle functioning, synthesis of proteins and nucleic acids and many others. Experimental studies suggest that most biological molecular motors function collectively by interacting with each other and moving along linear tracks, from which they occasionally dissociate at specific locations. We develop a theoretical model to investigate the multi-particle dynamics of interacting molecular motors with local dissociations. It is specifically stimulated by ribosomes motion along ribonucleic acid (RNA) molecules during the protein synthesis when the ribosome complex might dissociate into the solution by encountering a specially localized region on RNA. In our theoretical approach, we model the dynamics of molecular motors as one-dimensional totally asymmetric simple exclusion processes for interacting particles. Using a cluster mean-field approach, which partially takes into account the correlations in the system, stationary properties such as particle currents, densities and phase diagrams are explicitly calculated. It is found that the presence of local dissociations increases the number of possible stationary phases. Furthermore, the strength of interactions between molecular motors, the modification of transition rates due to interactions and the frequency of dissociations strongly influence the dynamics of molecular motors. The microscopic origin of these observations are discussed. Our theoretical predictions are fully supported by Monte Carlo computer simulations.